The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Une nouvelle méthode pour la description primitive de la texture multiprimitive est proposée. Cette méthode segmente une texture par l'algorithme de bassin versant en fragments dont chacun contient un grain. Les fragments similaires sont regroupés par analyse groupée dans l'espace des caractéristiques dont la base est la densité de taille morphologique. Chaque primitive est extraite comme le grain du fragment central dans chaque cluster.
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Akira ASANO, Junichi ENDO, Chie MURAKI, "Multiprimitive Texture Analysis Using Cluster Analysis and Morphological Size Distribution" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 9, pp. 2180-2183, September 2002, doi: .
Abstract: A novel method for the primitive description of the multiprimitive texture is proposed. This method segments a texture by the watershed algorithm into fragments each of which contains one grain. The similar fragments are grouped by the cluster analysis in the feature space whose basis is the morphological size density. Each primitive is extracted as the grain of the central fragment in each cluster.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_9_2180/_p
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@ARTICLE{e85-a_9_2180,
author={Akira ASANO, Junichi ENDO, Chie MURAKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Multiprimitive Texture Analysis Using Cluster Analysis and Morphological Size Distribution},
year={2002},
volume={E85-A},
number={9},
pages={2180-2183},
abstract={A novel method for the primitive description of the multiprimitive texture is proposed. This method segments a texture by the watershed algorithm into fragments each of which contains one grain. The similar fragments are grouped by the cluster analysis in the feature space whose basis is the morphological size density. Each primitive is extracted as the grain of the central fragment in each cluster.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Multiprimitive Texture Analysis Using Cluster Analysis and Morphological Size Distribution
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2180
EP - 2183
AU - Akira ASANO
AU - Junichi ENDO
AU - Chie MURAKI
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2002
AB - A novel method for the primitive description of the multiprimitive texture is proposed. This method segments a texture by the watershed algorithm into fragments each of which contains one grain. The similar fragments are grouped by the cluster analysis in the feature space whose basis is the morphological size density. Each primitive is extracted as the grain of the central fragment in each cluster.
ER -